Computer Vision / Advanced Image Processing

Time and Place

Content

The course will present relevant algorithms and theories within the field of Computer Vision / Advanced Image Processing.
The main focus will be on the technical and methodological elements behind solutions to general problems in Vision.
The course will consist of a number of lectures together with a group-wise mini-project.

Plan

Mini Module	Topics	Date	Lecturer	Students*
1	Compression of images	Monday 8/2-10	Thomas B. Moeslund	MED8
2	Physics based color-image understanding	NEW date: 9/2-10 Time: 12.30 Room: NJ14 4-117	Hans Jørgen Andersen	MED8 / VGIS8
3	Segmentation in video	Monday 22/2-10	Preben Fihl	MED8 / VGIS8 / PDP8
4	Stereo video data	Monday 8/3-10	Claus B. Madsen	MED8 / VGIS8
5	From images to illumination	Tuesday 16/3-10	Claus B. Madsen	MED8 / VGIS8
6	Face Detection	Tuesday 23/3-10	Kamal Nasrollahi	MED8 / VGIS8
7	Tracking	Tuesday 30/3-10	Thomas B. Moeslund	MED8 / VGIS8 / PDP8
8	Student presentations	Tuesday 13/4-10 NEW room: B3-104	Thomas B. Moeslund	MED8 / VGIS8 / PDP8
9	Creating visual effects in images 1	Tuesday 20/4-10 New room: 3-119	Michael Holte	MED8
10	Creating visual effects in images 2	New data and room: Friday 23/4-10 Room: NJ12 A5-006	Michael Holte	MED8

* VGIS8 and PDP8 students are obviously welcome to follow all lectures (except #1 which will be covered in the course Representation of Multi Media Data)

Literature:

See individual lectures.

Exercise:

Either some lecture specific exercises or the exercise-time will be spend working on the mini-projects.

Exam (only for PDP8 students):

Have a look here